Rasgo website screenshot

Rasgo

Rasgo is an AI-powered Copilot for your data warehouse, letting teams query and analyze their data through natural-language interfaces while the data stays inside their existing warehouse. The Rasgo AI agent translates data-warehouse metadata into an LLM-friendly form and can be trained on a specific business domain through natural-language notes. It supports Snowflake and BigQuery (with Redshift and Delta Lake via Databricks on the roadmap) and integrates with OpenAI, Anthropic, Gemini, and dbt Cloud. Rasgo also offers a beta HTTP API (Enterprise plans and above) and an official Python SDK, pyrasgo, that grew out of its earlier data feature-engineering product line. Rasgo is backed by Insight Partners.

Rasgo publishes 1 API on the APIs.io network: Metadata API. Tagged areas include Company, Data Warehouse, Analytics, Artificial Intelligence, and Natural-Language.

Rasgo’s developer surface includes documentation, API reference, getting-started guide, signup flow, changelog, authentication, and 12 more developer resources.

36.0/100 thin ▬ flat Agent 21/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
1 APIs
CompanyData WarehouseAnalyticsArtificial IntelligenceNatural-LanguageSnowflakeBigQueryBusiness IntelligenceMetadataSQL

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/rasgo: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Rasgo Metadata API

Table metadata operations

Open Collections 2

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

Rasgo Metadata API

OPEN COLLECTION

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Rasgo Authentication

http · 1 scheme

SECURITY

Rasgo Domain Security

TLSv1.3 · HSTS · DNSSEC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Build 2

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Company 1

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: rasgo
name: Rasgo
description: Rasgo is an AI-powered Copilot for your data warehouse, letting teams query and analyze their data through natural-language
  interfaces while the data stays inside their existing warehouse. The Rasgo AI agent translates data-warehouse metadata into
  an LLM-friendly form and can be trained on a specific business domain through natural-language notes. It supports Snowflake
  and BigQuery (with Redshift and Delta Lake via Databricks on the roadmap) and integrates with OpenAI, Anthropic, Gemini,
  and dbt Cloud. Rasgo also offers a beta HTTP API (Enterprise plans and above) and an official Python SDK, pyrasgo, that
  grew out of its earlier data feature-engineering product line. Rasgo is backed by Insight Partners.
url: https://raw.githubusercontent.com/api-evangelist/rasgo/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://assets.website-files.com/6276a6c8de0316128b0a3844/6276a6c8de03160de50a38c5_rasgo-logo-inverted-rgb.svg
x-type: company
x-source: vc-portfolio
x-backed-by:
- insight-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Data Warehouse
- Analytics
- Artificial Intelligence
- Natural-Language
- Snowflake
- BigQuery
- Business Intelligence
- Metadata
- SQL
tags_raw:
- Company
- Data Warehouse
- Analytics
- Artificial Intelligence
- Natural Language
- Snowflake
- BigQuery
- Business Intelligence
- Metadata
- SQL
apis:
- aid: rasgo:rasgo-metadata-api
  name: Rasgo Metadata API
  description: Table metadata operations
  humanURL: https://docs.rasgoml.com/rasgo-docs/api.md
  baseURL: https://api.rasgoml.com
  tags:
  - Metadata
  properties:
  - type: OpenAPI
    url: openapi/rasgo-metadata-api-openapi.yml
  - type: Authentication
    url: authentication/rasgo-authentication.yml
  - type: Conventions
    url: conventions/rasgo-conventions.yml
  - type: Conformance
    url: conformance/rasgo-conformance.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 11
  pass: local-v1
common:
- type: DomainSecurity
  url: security/rasgo-domain-security.yml
- type: Website
  url: https://www.rasgoml.com/
- type: DeveloperPortal
  url: https://docs.rasgoml.com/
- type: Documentation
  url: https://docs.rasgoml.com/rasgo-docs/readme.md
- type: APIReference
  url: https://docs.rasgoml.com/rasgo-docs/api.md
- type: GettingStarted
  url: https://docs.rasgoml.com/rasgo-docs/set-up-rasgo.md
- type: SignUp
  url: https://app.rasgoml.com/
- type: ChangeLog
  url: https://docs.rasgoml.com/rasgo-docs/whats-new.md
- type: LLMsTxt
  url: llms/rasgo-llms.txt
- type: Packages
  url: packages/rasgo-packages.yml
- type: SDKs
  url: packages/rasgo-packages.yml
- type: Authentication
  url: authentication/rasgo-authentication.yml
- type: Conventions
  url: conventions/rasgo-conventions.yml
- type: Conformance
  url: conformance/rasgo-conformance.yml
- type: Lifecycle
  url: lifecycle/rasgo-lifecycle.yml
- type: ChangeLog
  url: changelog/rasgo-changelog.yml
  name: Rasgo changelog artifact
- type: X-MCPServerCandidate
  url: mcp/rasgo-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: AgentSkill
  url: skills/_index.yml

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